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Pedro B. Bazon

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Preprint Aug 2026

A Data-Driven Computational Framework for Incompressible Flow in Hydraulic Networks

The classical procedure for solving hydraulic networks relies on the assumption of constitutive equations, which state the relationship between the pressure gradient and fluxes along an edge. In this paper, we propose a data-driven framework that bypasses these constitutive models, formulating the incompressible flow p...

Pedro B. Bazon, Cristian G. Gebhardt, R. Ausas · 0 citations

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